Improved alpine grassland mapping in the Tibetan Plateau with MODIS time series: a phenology perspective
Wang C. Z.; Guo, H. D.; Zhang, L.; Qiu, Y. B.; Sun, Z. C.; Liao, J. J.; Liu, G.; Zhang, Y. L.
2015
关键词Tibetan Plateau alpine grassland time-series analysis SVM global climate-change spatial-resolution classifications temperature permafrost ecosystem china
英文摘要The Tibetan Plateau is primarily composed of alpine grasslands. Spatial distributions of alpine grasses, however, are not well documented in this remote, highly uninhabited region. Taking advantage of the frequently observed moderate resolution imaging spectroradiometer (MODIS) images (500-m, 8-day) in 2010, this study extracted the phenological metrics of alpine grasses from the normalized difference vegetation index time series. With the Support Vector Machine, a multistep classification approach was developed to delineate alpine meadows, steppes, and desert grasses. The lakes, permanent snow, and barren/desert lands were also classified with a MODIS scene acquired in the peak growing season. With ground data collected in the field and aerial experiments in 2011, the overall accuracy reached 93% when alpine desert grasses and barren lands were not examined. In comparison with the recently published national vegetation map, the alpine grassland map in this study revealed smoother transition between alpine meadows and steppes, less alpine meadows in the southwest, and more barren/deserts in the high-cold Kunlun Mountain in the northeast. These variations better reflected climate control (e.g. precipitation) of different climatic divisions on alpine grasslands. The improved alpine grassland map could provide important base information about this cold region under the pressure of rapidly changing climate.
出处International Journal of Digital Earth
8
2
133-152
收录类别SCI
语种英语
ISSN号1753-8947
内容类型SCI/SSCI论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/38488]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Wang C. Z.,Guo, H. D.,Zhang, L.,et al. Improved alpine grassland mapping in the Tibetan Plateau with MODIS time series: a phenology perspective. 2015.
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